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文件名称:svmtools

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  • 上传时间:
    2008-10-13
  • 文件大小:
    1.55mb
  • 已下载:
    0次
  • 提 供 者:
    c**
  • 相关连接:
  • 下载说明:
    别用迅雷下载,失败请重下,重下不扣分!

介绍说明--下载内容来自于网络,使用问题请自行百度

这是关于支持向量机的工具箱。里面包括很多目前比较流行的工具箱的源代码文件
(系统自动生成,下载前可以参看下载内容)

下载文件列表

svm/binomial.m
svm/centrefig.m
svm/CLADEMO.M
svm/cmap.mat
svm/Contents.m
svm/c_svcdemo.m
svm/DemoData_class.mat
svm/DemoData_test.mat
svm/DemoData_train.mat
svm/DEMOS.M
svm/DimFit.m
svm/LINDEMO.M
svm/LinearSVC.m
svm/mexSVMClass.dll
svm/mexSVMClass.m
svm/mexSVMClass.mexglx
svm/mexSVMClass.mexhp7
svm/mexSVMClass.mexsol
svm/mexSVMTrain.dll
svm/mexSVMTrain.m
svm/mexSVMTrain.mexglx
svm/mexSVMTrain.mexhp7
svm/mexSVMTrain.mexsol
svm/newsvm.zip
svm/nobias.m
svm/Normalize.m
svm/one_rbfdemo.m
svm/one_RbfSVC.m
svm/OSU SVM Classifier Matlab Toolbox.htm
svm/osuSVMClass.m
svm/osusvmdemo.m
svm/osuSVMTest.m
svm/osuSVMTrain.m
svm/POLDEMO.M
svm/PolySVC.m
svm/qp.dll
svm/RBFDEMO.M
svm/RbfSVC.m
svm/README
svm/Scale.m
svm/softmargin.m
svm/svc.m
svm/SVCDEMO.M
svm/svcerror.m
svm/svcinfo.m
svm/svcoutput.m
svm/svcplot.m
svm/svdatanorm.m
svm/svkernel.m
svm/SVMClass.m
svm/SVMClassifier.mat
svm/SVMPlot.m
svm/SVMPlot2.m
svm/SVMTest.m
svm/SVMTrain.m
svm/svr.m
svm/svrerror.m
svm/svroutput.m
svm/svrplot.m
svm/svtol.m
svm/uiclass.m
svm/uiclass.mat
svm/uiregress.m
svm/uiregress.mat
svm/u_clademo.m
svm/u_lindemo.m
svm/u_LinearSVC.m
svm/u_poldemo.m
svm/u_PolySVC.m
svm/u_rbfdemo.m
svm/u_RbfSVC.m
svm/u_svcdemo.m
svm/Optimiser/Makefile
svm/Optimiser/pr_loqo.c
svm/Optimiser/pr_loqo.h
svm/Optimiser/qp.c
svm/Optimiser/qp.dll
svm/newsvm/binomial.m
svm/newsvm/centrefig.m
svm/newsvm/cmap.mat
svm/newsvm/Contents.m
svm/newsvm/nobias.m
svm/newsvm/qp.dll
svm/newsvm/README
svm/newsvm/softmargin.m
svm/newsvm/svc.m
svm/newsvm/svcerror.m
svm/newsvm/svcinfo.m
svm/newsvm/svcoutput.m
svm/newsvm/svcplot.m
svm/newsvm/svdatanorm.m
svm/newsvm/svkernel.m
svm/newsvm/svr.m
svm/newsvm/svrerror.m
svm/newsvm/svroutput.m
svm/newsvm/svrplot.m
svm/newsvm/svtol.m
svm/newsvm/uiclass.m
svm/newsvm/uiclass.mat
svm/newsvm/uiregress.m
svm/newsvm/uiregress.mat
svm/newsvm/Optimiser/Makefile
svm/newsvm/Optimiser/pr_loqo.c
svm/newsvm/Optimiser/pr_loqo.h
svm/newsvm/Optimiser/qp.c
svm/newsvm/Optimiser/qp.dll
svm/newsvm/Examples/Regression/example.mat
svm/newsvm/Examples/Regression/sinc.mat
svm/newsvm/Examples/Regression/titanium.mat
svm/newsvm/Examples/Classification/iris1v23.mat
svm/newsvm/Examples/Classification/iris2v13.mat
svm/newsvm/Examples/Classification/iris3v12.mat
svm/newsvm/Examples/Classification/linsep.mat
svm/newsvm/Examples/Classification/nlinsep.mat
svm/Examples/Regression/example.mat
svm/Examples/Regression/sinc.mat
svm/Examples/Regression/titanium.mat
svm/Examples/Classification/iris1v23.mat
svm/Examples/Classification/iris2v13.mat
svm/Examples/Classification/iris3v12.mat
svm/Examples/Classification/linsep.mat
svm/Examples/Classification/nlinsep.mat
svm/demo/c_clademo.m
svm/demo/c_lindemo.m
svm/demo/c_poldemo.m
svm/demo/c_rbfdemo.m
svm/demo/c_svcdemo.m
svm/demo/DemoData_class.mat
svm/demo/DemoData_test.mat
svm/demo/DemoData_train.mat
svm/demo/one_rbfdemo.m
svm/demo/osusvmdemo.m
svm/demo/SVMClassifier.mat
svm/demo/u_clademo.m
svm/demo/u_lindemo.m
svm/demo/u_poldemo.m
svm/demo/u_rbfdemo.m
svm/demo/u_svcdemo.m
svm/newsvm/Examples/Regression
svm/newsvm/Examples/Classification
svm/newsvm/Optimiser
svm/newsvm/Examples
svm/Examples/Regression
svm/Examples/Classification
svm/Optimiser
svm/newsvm
svm/Examples
svm/demo
svm
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